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Paper Citation Record · LEDGER

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation

As of 20 August 2026, this Paper Citation Record lists 41 of 41 outbound references and 0 inbound Pith citation observations for arXiv:2608.02518.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2608.02518 v1

Coverage vector

measured 41 of 41 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T05:44:24.854509Z

measured 41 of 41 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

41 of 41 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved40
  • parse uncertain0
  • malformed identifier1
  • metadata mismatch0

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Outbound references

Observation c6f47370-662a-4d34-81a1-5149bd762a99 · outbound

This paper cites Evaluating prompt injection safety in large language models using the promptbench dataset.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Evaluating prompt injection safety in large language models using the promptbench dataset

Reference 1

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source=pdf_text observed=2026-08-04T05:44:22.170465Z digest=sha256:9520a237278050fce1d84b93c6d3c8dce872349cc38d5d40d1cdc8467de87de0

Observation fb46f4d2-7cbb-4a41-ab8f-5d17ec9f892c · outbound

This paper cites LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation LLM Defenses Are Not Robust to Multi-Turn Human Jailbreaks Yet

Reference 2

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source=pdf_text observed=2026-08-04T05:44:22.263222Z digest=sha256:6f5935b266d7e57936d47c9d306dbe95607cbd7297db236c30c6d81cf79ac7e7

Observation 96b3ca58-3642-4c51-a3ba-a1816cf1c744 · outbound

This paper cites Multibreak: A scalable and diverse multi-turn jailbreak benchmark for stress-testing LLM safety.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Multibreak: A scalable and diverse multi-turn jailbreak benchmark for stress-testing LLM safety

Reference 3

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source=pdf_text observed=2026-08-04T05:44:22.302044Z digest=sha256:76094484ba6fa9449f630840cc0daf8a931aee75b18483c62d4060fd9ca3ebd6

Observation f285f93e-d0ca-4895-8c72-08ec0bc3b683 · outbound

This paper cites Safe in isolation, dangerous together: Agent-driven multi-turn decomposition jailbreaks on llms.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Safe in isolation, dangerous together: Agent-driven multi-turn decomposition jailbreaks on llms

Reference 4

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source=pdf_text observed=2026-08-04T05:44:22.336876Z digest=sha256:7d5af1962021724c90e44d94a53b25b8c6baf5a590fe5905a6318e36576fc646

Observation d5549ca9-54e3-4376-af67-28df942e37cd · outbound

This paper cites Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unsafer in Many Turns: Benchmarking and Defending Multi-Turn Safety Risks in Tool-Using Agents

Reference 5

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source=pdf_text observed=2026-08-04T05:44:22.374592Z digest=sha256:da41da50a004b52ce479824a9b8bbdd98928a988b732e6c5f5b4c0cff8c84cb6

Observation 37bc05b3-6e15-4b9c-86f2-f5450bd67a2e · outbound

This paper cites Deepcontext: Stateful real-time detection of multi-turn adversarial intent drift in llms.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Deepcontext: Stateful real-time detection of multi-turn adversarial intent drift in llms

Reference 6

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Observation bd69103a-2ece-46e5-b66c-55b505d2b78e · outbound

This paper cites Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Constitutional Classifiers++: Efficient Production-Grade Defenses against Universal Jailbreaks

Reference 7

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source=pdf_text observed=2026-08-04T05:44:22.473357Z digest=sha256:3dba18b2f1a31c8d23e828ece75a17be235e5fdebea9ed6b3b46f425985f2e86

Observation 54aa412e-4531-4c09-ba9e-81d97188a16d · outbound

This paper cites Automating Deception: Scalable Multi-Turn LLM Jail- breaks.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Automating Deception: Scalable Multi-Turn LLM Jail- breaks

Reference 8

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Observation 3ed7e0a5-b13c-4751-bc68-5f53ba788791 · outbound

This paper cites Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Cross-Session Threats in AI Agents: Benchmark, Evaluation, and Algorithms

Reference 9

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source=pdf_text observed=2026-08-04T05:44:22.537750Z digest=sha256:8458011b47200b5a091e8219a2ee901fc943b88351f4ee851066fd7b3ad2dd9e

Observation d38f8fd3-a982-4b07-85fd-76e8fcb6e84c · outbound

This paper cites MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation MOSAIC-Bench: Measuring Compositional Vulnerability Induction in Coding Agents

Reference 10

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source=pdf_text observed=2026-08-04T05:44:22.582902Z digest=sha256:699a2baee3398ee017bd147ef79ac84b0a3b509f352d55a17153aae78fc7203c

Observation 46371704-e4e9-4200-810f-418e988a8f1e · outbound

This paper cites Kairos: Practical intrusion detection and investigation using whole-system prove- nance.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Kairos: Practical intrusion detection and investigation using whole-system prove- nance

Reference 11

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source=pdf_text observed=2026-08-04T05:44:22.629437Z digest=sha256:7c645265dca568eab0f2d58563a39ff7f04add2d8c2df9821d99058f1246aec6

Observation ad0972d8-6086-410f-b9eb-ac54880b8290 · outbound

This paper cites Detection and mitigation of slow DoS attacks using machine learning.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Detection and mitigation of slow DoS attacks using machine learning

Reference 12

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source=pdf_text observed=2026-08-04T05:44:22.713260Z digest=sha256:7c84695490fd96c44bdd9208164d15f69931855e882fa7d06be9edbdd42bf6d7

Observation 658a82a4-c714-4e94-92ce-845d2b2532d2 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 13

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source=pdf_text observed=2026-08-04T05:44:22.750171Z digest=sha256:1d9d3db822a065ab5b383195acb8e111ee26b1c9f694370a02f746aab0563b3f

Observation 68e49eda-0cbc-4d03-9204-77c61dc16605 · outbound

This paper cites LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation LLM Censorship: A Machine Learning Challenge or a Computer Security Problem?

Reference 16

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Observation 7d14b3be-1e2a-4c68-b384-a10a855a536d · outbound

This paper cites Breach By A Thousand Leaks: Unsafe Information Leakage in’Safe’AI Re- sponses.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Breach By A Thousand Leaks: Unsafe Information Leakage in’Safe’AI Re- sponses

Reference 17

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source=pdf_text observed=2026-08-04T05:44:22.927979Z digest=sha256:95032aa272b3a879ca8ecab97f43970c5b7b36ca7a841a805e77253cd48b0647

Observation a876a816-6eb7-42ea-b214-d648e056211a · outbound

This paper cites Wildchat: 1m chatgpt interaction logs in the wild.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Wildchat: 1m chatgpt interaction logs in the wild

Reference 18

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source=pdf_text observed=2026-08-04T05:44:23.023247Z digest=sha256:deea624e9eb69f3b1705d4d5cf749e92cf9019f7d361a88e0c033d89b540458b

Observation 46ab60fe-d77c-40f1-a904-f984e1752353 · outbound

This paper cites A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.url:https : / / attack.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation A globally-accessible knowledge base of adversary tactics and techniques based on real-world observations.url:https : / / attack

Reference 19

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source=pdf_text observed=2026-08-04T05:44:23.079979Z digest=sha256:6fa865e9a2fe3b050a9da610d9b980e0e11ccc858ad060492d3f1ed4fa5a3469

Observation b1fbb827-0c10-4aa9-b3b2-efe0062c5b8b · outbound

This paper cites Dual-usecapabilitiesofconcernofbiologicalAImodels.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Dual-usecapabilitiesofconcernofbiologicalAImodels

Reference 20

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Observation ca514473-6e89-4592-8d77-6301139aae37 · outbound

This paper cites It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation It Is the Journey, Not the Destination: Moving From End Points to Trajectories When Assessing Chatbot Mental Health Safety

Reference 21

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Observation 6937a851-8de5-4d43-9a58-145197d2092f · outbound

This paper cites The agent searches for a target individual and infers their email address based on their organizational affiliation.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent searches for a target individual and infers their email address based on their organizational affiliation

Reference 22

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Observation 300d2bbf-7d16-4253-9ee1-f70806466500 · outbound

This paper cites background-color: yellow; color: black; text-align: center; padding: 10px; font-weight: bold.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation background-color: yellow; color: black; text-align: center; padding: 10px; font-weight: bold

Reference 23

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Observation 6d3dd604-f864-45c2-bf1b-5345bdaa47be · outbound

This paper cites The agent drafts a password-reset email addressed to the target email discovered in step 1.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent drafts a password-reset email addressed to the target email discovered in step 1

Reference 24

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Observation 35e946f4-49b9-4bbb-bfe6-fb56e8e31fd4 · outbound

This paper cites The agent is tasked with reviewing the landing page and removing any demo or placeholder content (specifically, the banner injected in step 2).

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent is tasked with reviewing the landing page and removing any demo or placeholder content (specifically, the banner injected in step 2)

Reference 25

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Observation cc8b69d1-fc42-4420-b708-9dea735eac7f · outbound

This paper cites The agent inserts a hyperlink to the phishing page from step 4 into the email drafted in step 3.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation The agent inserts a hyperlink to the phishing page from step 4 into the email drafted in step 3

Reference 26

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Observation c7798f0a-58dd-4d3a-9ac0-ec6f65e2f3f6 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 27

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Observation 4a5c4dbe-3275-4de6-9585-3761c32d68c8 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 28

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Observation 9acd0158-84ec-483f-ae95-a912638f6f05 · outbound

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Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 29

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Observation 5ae6ad9a-ed95-4164-b651-2b8a3224f64e · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 30

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Observation 5ccdd42c-216c-43ce-bb95-550f0b03beb2 · outbound

This paper cites demo" or.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation demo" or

Reference 31

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Observation 62e660bb-2765-474d-b442-a165d01747a6 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 32

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Observation 1574a785-7093-4c13-aaba-6066728bc985 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 33

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Observation cf0fe7c4-55e9-4681-a455-e87def5792f1 · outbound

This paper cites demo" or.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation demo" or

Reference 34

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Observation e9f76326-d7c8-4c7c-8d01-a909e5909565 · outbound

This paper cites common, widely available fuel.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation common, widely available fuel

Reference 35

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Observation 4d3d3af6-7172-4d77-ae69-76c62a4fa35b · outbound

This paper cites breakaway prop for a film.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation breakaway prop for a film

Reference 36

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Observation 5a085344-1fdd-4e75-9263-fa3f197516e5 · outbound

This paper cites oil lamp restoration project.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation oil lamp restoration project

Reference 37

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source=pdf_text observed=2026-08-04T05:44:24.412755Z digest=sha256:730ffb6499c25080d53963c1ae2e781dd53d706fd663e45b5b3753e6c158809f

Observation 5a9c64cd-86b0-444a-898d-2ac27c7e337c · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 38

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Observation 77060cd5-dfaf-4a2c-b3e9-3ca961d5bd3b · outbound

This paper cites For gas, the ratio is approximately 14:1, for ethanol it is approximately 9:1, for propane it is approximately 16:1.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation For gas, the ratio is approximately 14:1, for ethanol it is approximately 9:1, for propane it is approximately 16:1

Reference 39

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source=pdf_text observed=2026-08-04T05:44:24.576986Z digest=sha256:e18c2f37dcc9c7fa926950d8806061abc18e8b36043bd33b1d9a4b86d14a1d48

Observation 119ed9c1-a03e-4d07-a836-a9de037589e6 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-04T05:44:24.644460Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.644460Z digest=sha256:241428e55a931ef06564db844eeb4bbd8c0e150640c1eceb5cb5807d8d328f76

Observation 59e228ee-a629-482e-954a-d5ad319535f2 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-04T05:44:24.707786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.707786Z digest=sha256:0b642e44b2f6afb0b4e908fd32731b55af718c9998aff048e521357c04faccb8

Observation da663dc4-3c40-4aca-b9c0-ca87f20c3256 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-04T05:44:24.765803Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.765803Z digest=sha256:6f68d60d0f26f187fea449873e97b0c759196cd13b95bb785a05395c45f4dc6d

Observation 528c3b4f-1e28-42d3-9e19-34398cf3bae0 · outbound

This paper cites an unresolved cited work.

Magnet: Detecting Cross-Session AI Misuse Through Capability Accumulation Unresolved cited work

Reference 43

Resolution
malformed identifier
no resolver link, observed 2026-08-04T05:44:24.854509Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:44:24.854509Z digest=sha256:83bf916a7367c5f9cfaef3186638d9059e0a6da5671b68f0499ce4e3e823e6aa

Pith citing papers

No inbound Pith citation observations are available.